1.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

1.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.01       1.02
## LDevsum       1.01       1.03
## dh0           1.50       2.15
## dh1           1.66       2.63
## dh2           1.41       2.22
## dl0           1.92       3.06
## dl1           1.60       2.49
## dl2           1.39       2.11
## 
## Multivariate psrf
## 
## 1.83

1.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

1.4 WAIC results

2.1 Trace plots for convergence check

The current MCMC setting is:

• 100,000 iteration;
  
• 90,000 burn-in;
  
• 10 thinning.

2.2 Gelman and Rubin’s convergence check

## Potential scale reduction factors:
## 
##         Point est. Upper C.I.
## HDevsum       1.00       1.01
## LDevsum       1.00       1.01
## dh0           2.55       8.40
## dh1           9.41      17.85
## dh2           5.53      13.34
## dl0           1.12       1.33
## dl1           1.17       1.47
## dl2           1.05       1.14
## 
## Multivariate psrf
## 
## 8.43

2.3 ACF Plots

Here we plotted ACF plots for the following variables:

• Total deviance;
  
• Variables that didn’t pass the convergence check.

2.4 WAIC results